Summary of additional State data sent on 5/11/22. This data supplements earlier data and includes more detailed breakdown of SNAP payments made before and after the pandemic.
Github link: https://github.com/jondata
Variables included:
au_num, SNAP(monthly), PEBT(monthly), Summer SNAP(monthly),
TCA(monthly), HH variables(monthly)
Dates included:
Pre pandemic period: 1/1/2019 and 3/31/2020
Post pandemic period: 4/1/2020 and 4/30/2021
Number of individuals in data:
- SNAP: 1261
- Summer SNAP: 517
- PEBT: 1073
- TCA: 196
Subset of data including only the payments labeled SNAP.
The median total payments increased from $4820 to $7200 despite
including fewer months.(All SNAP received during PRE or POST
period)
The median monthly payment increased from $371 per month to $616 per
month.
| Pre (N=1261) |
Post (N=1215) |
Total (N=2476) |
|
|---|---|---|---|
| Total SNAP Issuance | |||
| Mean (SD) | 5180 (3310) | 7840 (3100) | 6480 (3480) |
| Median [Min, Max] | 4820 [16.0, 17800] | 7200 [194, 24400] | 6430 [16.0, 24400] |
| Median SNAP Issuance | |||
| Mean (SD) | 404 (220) | 618 (215) | 509 (243) |
| Median [Min, Max] | 371 [4.00, 1300] | 616 [194, 1840] | 509 [4.00, 1840] |
| Months in which SNAP was Issued | |||
| Mean (SD) | 12.6 (3.91) | 12.5 (2.19) | 12.6 (3.18) |
| Median [Min, Max] | 15.0 [1.00, 27.0] | 13.0 [1.00, 15.0] | 13.0 [1.00, 27.0] |
Total SNAP Issuance is a sum of all payments made during
that period
Median SNAP Issuance is the median monthly snap payment during
that period.
Months is the total number of months during a given period in
which a payment was made.
Total SNAP payments increased $2380 from before to after the pandemic
periods.
The median monthly SNAP payments increased by $185, a 47% increase.
| Total (N=1261) |
|
|---|---|
| Change in Total SNAP | |
| Mean (SD) | 2560 (2810) |
| Median [Min, Max] | 2380 [-8420, 13400] |
| Missing | 46 (3.6%) |
| Change in median monthly SNAP | |
| Mean (SD) | 213 (190) |
| Median [Min, Max] | 185 [-339, 907] |
| Missing | 46 (3.6%) |
| Change in the number of months receiving SNAP | |
| Mean (SD) | -0.344 (3.89) |
| Median [Min, Max] | -1.00 [-14.0, 12.0] |
| Missing | 46 (3.6%) |
| Proportion change | |
| Mean (SD) | 1.67 (5.89) |
| Median [Min, Max] | 0.470 [-0.570, 161] |
| Missing | 46 (3.6%) |
Change in Total SNAP: The difference between the Total SNAP
payments, before and during pandemic
Change in Median monthly SNAP: The difference in the median
monthly SNAP payments, pre and post
Change in number of months receiving SNAP:
Proportion change: Proportional change in the median monthly
SNAP payments, pre and post pandemic periods
Change in median monthly SNAP payments($) between pre and post pandemic
Per individual
PEBT and SummerSNAP were only distributed 2 times each
| PEBT (N=1073) |
SNAP (N=1261) |
SummerSNAP (N=517) |
TCA (N=196) |
Total (N=3047) |
|
|---|---|---|---|---|---|
| Sum | |||||
| Mean (SD) | 972 (551) | 12700 (6020) | 102 (17.0) | 12900 (8210) | 6460 (7470) |
| Median [Min, Max] | 940 [93.8, 3760] | 12000 [17.0, 41300] | 100 [90.0, 200] | 11000 [365, 37800] | 1880 [17.0, 41300] |
| Median | |||||
| Mean (SD) | 521 (303) | 513 (215) | 53.1 (11.3) | 621 (247) | 445 (296) |
| Median [Min, Max] | 470 [93.8, 1880] | 509 [15.0, 1320] | 50.0 [50.0, 100] | 587 [38.3, 1250] | 453 [15.0, 1880] |
| Months | |||||
| Mean (SD) | 1.89 (0.416) | 24.7 (5.88) | 1.96 (0.198) | 22.3 (11.2) | 12.6 (12.2) |
| Median [Min, Max] | 2.00 [1.00, 3.00] | 28.0 [1.00, 40.0] | 2.00 [1.00, 2.00] | 28.0 [2.00, 38.0] | 2.00 [1.00, 40.0] |
Median monthly issuance for each program from 1/2019 to 4/2021
The dotted red line indicates the start of the pandemic
Sum of monthly TCA, SNAP, Summer SNAP, and PEBT
Each row is an individual and a month
| Pre (N=18178) |
Post (N=16356) |
Total (N=34534) |
|
|---|---|---|---|
| Sum | |||
| Mean (SD) | 441 (247) | 713 (342) | 570 (325) |
| Median [Min, Max] | 417 [2.00, 1720] | 646 [10.0, 4270] | 518 [2.00, 4270] |
| Median | |||
| Mean (SD) | 439 (245) | 603 (253) | 517 (262) |
| Median [Min, Max] | 414 [2.00, 1590] | 616 [10.0, 2690] | 509 [2.00, 2690] |
| Programs | |||
| Mean (SD) | 1.01 (0.0843) | 1.24 (0.489) | 1.12 (0.361) |
| Median [Min, Max] | 1.00 [1.00, 2.00] | 1.00 [1.00, 4.00] | 1.00 [1.00, 4.00] |
Anonymized summary data using crc32 anonymization
Each row is an individual, and the Median monthly total for all programs (TCA, SNAP, SummerSNAP, PEBT combined), by Pre or Post PERIOD
| Pre (N=1457) |
Post (N=1353) |
Total (N=2810) |
|
|---|---|---|---|
| Sum | |||
| Mean (SD) | 5500 (3510) | 8610 (3640) | 7000 (3900) |
| Median [Min, Max] | 4970 [16.0, 18400] | 8160 [121, 27300] | 6780 [16.0, 27300] |
| Median | |||
| Mean (SD) | 435 (238) | 630 (222) | 529 (250) |
| Median [Min, Max] | 411 [4.00, 1300] | 616 [121, 1840] | 530 [4.00, 1840] |
Anonymized summary data using crc32 anonymization
All programs combined, the median of the all months in the Pre or
Post periods
| Total (N=1457) |
|
|---|---|
| Change in Total monthly | |
| Mean (SD) | 2960 (3350) |
| Median [Min, Max] | 2880 [-14400, 16000] |
| Missing | 104 (7.1%) |
| Change in median monthly Total | |
| Mean (SD) | 201 (197) |
| Median [Min, Max] | 175 [-659, 1010] |
| Missing | 104 (7.1%) |
| Proportion change | |
| Mean (SD) | 1.52 (5.66) |
| Median [Min, Max] | 0.410 [-0.740, 161] |
| Missing | 104 (7.1%) |
Paired sample plot
Each dot is an individual’s median monthly payments
Change in Median monthly payments
If the data is normally distributed, the points in a Q-Q plot will lie
on a straight diagonal line.
Positive skew
##
## Asymptotic one-sample Kolmogorov-Smirnov test
##
## data: total_wide$median_diff
## D = 0.90664, p-value < 2.2e-16
## alternative hypothesis: two-sided
nonparametric test of the equality of continuous, one-dimensional probability distribution
| 1 (N=230) |
Total Completed (N=286) |
p-value | |
|---|---|---|---|
| What is your current gender? | |||
| Man | 72 (31.3%) | 91 (31.8%) | <0.05 |
| Woman | 156 (67.8%) | 193 (67.5%) | |
| Transgender | 0 (0%) | 0 (0%) | |
| Non-binary | 1 (0.4%) | 1 (0.3%) | |
| My gender is not listed here | 1 (0.4%) | 1 (0.3%) | |
| Prefer not to answer | 0 (0%) | 0 (0%) | |
| How old are you? | |||
| 14 | 17 (7.4%) | 20 (7.0%) | <0.05 |
| 15 | 53 (23.0%) | 64 (22.4%) | |
| 16 | 57 (24.8%) | 71 (24.8%) | |
| 17 | 36 (15.7%) | 49 (17.1%) | |
| 18 | 61 (26.5%) | 76 (26.6%) | |
| 19 | 6 (2.6%) | 6 (2.1%) | |
| What do you consider your race/ethnicity to be? Check all that apply: (choice=White/Caucasian) | |||
| Unchecked | 224 (97.4%) | 280 (97.9%) | <0.05 |
| Checked | 6 (2.6%) | 6 (2.1%) | |
| What do you consider your race/ethnicity to be? Check all that apply: (choice=African American or Black) | |||
| Unchecked | 6 (2.6%) | 6 (2.1%) | <0.05 |
| Checked | 224 (97.4%) | 280 (97.9%) | |
| Do you have a paid job/internship? | |||
| Yes, part-time (less than 40 hours a week) | 40 (17.4%) | 49 (17.1%) | <0.05 |
| Yes, full-time (at least 40 hours a week) | 5 (2.2%) | 8 (2.8%) | |
| No | 180 (78.3%) | 223 (78.0%) | |
| Prefer not to answer | 4 (1.7%) | 5 (1.7%) | |
| Missing | 1 (0.4%) | 1 (0.3%) |
Does an increase in assistance during the pandemic decrease self-reported depression, food insecurity or anxiety?
Change in Median monthly payments, among only the matched ids
One sample Kolmogorov-Smirnox Test
##
## Asymptotic one-sample Kolmogorov-Smirnov test
##
## data: combo_data$median_diff
## D = 0.94495, p-value < 2.2e-16
## alternative hypothesis: two-sided
##
## Shapiro-Wilk normality test
##
## data: combo_data$median_diff
## W = 0.96772, p-value = 7.062e-05
The null hypothesis of Shapiro’s test is that the population is distributed normally. If the value of p is equal to or less than 0.05, then the hypothesis of normality will be rejected by the Shapiro test.
Normal distribution assumption is not met
##
## Pearson's product-moment correlation
##
## data: combo_data$median_diff and combo_data$food_cat
## t = 0.25109, df = 216, p-value = 0.802
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.1160593 0.1496205
## sample estimates:
## cor
## 0.01708208
##
## Pearson's product-moment correlation
##
## data: combo_data$median_prop and combo_data$food_cat
## t = -1.3224, df = 216, p-value = 0.1874
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.21987600 0.04378305
## sample estimates:
## cor
## -0.08961631
##
## Pearson's product-moment correlation
##
## data: combo_data$median_diff and combo_data$depression_cat
## t = -0.3503, df = 216, p-value = 0.7265
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.1562113 0.1093965
## sample estimates:
## cor
## -0.02382791
##
## Pearson's product-moment correlation
##
## data: combo_data$median_prop and combo_data$depression_cat
## t = -1.2723, df = 216, p-value = 0.2046
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.21664110 0.04717273
## sample estimates:
## cor
## -0.08624586
##
## Pearson's product-moment correlation
##
## data: combo_data$median_diff and combo_data$anxiety_cat
## t = -0.25984, df = 216, p-value = 0.7952
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.1502024 0.1154719
## sample estimates:
## cor
## -0.01767728
##
## Pearson's product-moment correlation
##
## data: combo_data$median_prop and combo_data$anxiety_cat
## t = -1.0075, df = 216, p-value = 0.3148
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.19945685 0.06507792
## sample estimates:
## cor
## -0.06839147
Histogram of Food Security Scores from completed Surveys
##
## Shapiro-Wilk normality test
##
## data: redcap_state$food_total_no_refused
## W = 0.75899, p-value < 2.2e-16
The null hypothesis of Shapiro’s test is that the population is distributed normally. If the value of p is equal to or less than 0.05, then the hypothesis of normality will be rejected by the Shapiro test.
Food Insecurity and change in Median monthly payments
Histogram of Depression Scores from completed Surveys
##
## Shapiro-Wilk normality test
##
## data: redcap_state$depression_total_no_refused
## W = 0.9438, p-value = 1.619e-08
The null hypothesis of Shapiro’s test is that the population is distributed normally. If the value of p is equal to or less than 0.05, then the hypothesis of normality will be rejected by the Shapiro test.
Depression score and change in Median monthly payments
Histogram of Anxiety Scores from completed Surveys
##
## Shapiro-Wilk normality test
##
## data: redcap_state$anxiety_total_no_refused
## W = 0.90249, p-value = 1.878e-12
The null hypothesis of Shapiro’s test is that the population is distributed normally. If the value of p is equal to or less than 0.05, then the hypothesis of normality will be rejected by the Shapiro test.
Anxiety score and change in Median monthly payments